Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS

Engineering Geology

Volumn 124, Issue 1, 2012, Pages 12-23

  Choi, Jaewon ^a   Oh, Hyun Joo ^b   Lee, Hong Jin ^b   Lee, Changwook ^c   Lee, Saro ^b  

^a Ministry of Public Administration and Security   (South Korea)

^b Korea Institute of Geosceince and Mineral Resources   (South Korea)

^c University of Seoul   (South Korea)

Author keywords

ASTER; GIS; Korea; Landslide; Susceptibility

Indexed keywords

ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER; ARTIFICIAL NEURAL NETWORK MODELS; ASTER; ASTER IMAGE; DIGITAL ELEVATION MODEL; FREQUENCY RATIOS; INPUT FACTORS; INTEGRATED TECHNIQUES; KOREA; LAND COVER; LANDSLIDE SUSCEPTIBILITY; LOGISTIC REGRESSIONS; NORMALIZED DIFFERENCE VEGETATION INDEX; OVERLAY ANALYSIS; SPATIAL DATABASE; SUSCEPTIBILITY MAPS; TOPOGRAPHIC DATABASE;

GEOGRAPHIC INFORMATION SYSTEMS; IMAGE PROCESSING; MAGNETIC SUSCEPTIBILITY; NEURAL NETWORKS; REGRESSION ANALYSIS; SURVEYING;

LANDSLIDES;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; ASTER; DATABASE; DIGITAL ELEVATION MODEL; GIS; HAZARD ASSESSMENT; INTEGRATED APPROACH; LANDSLIDE; NDVI; SATELLITE IMAGERY; TOPOGRAPHIC MAPPING;

KOREA;

EID: 84855187648     PISSN: 00137952     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enggeo.2011.09.011     Document Type: Article

References (65)

1. Akgun A., Bulut F. GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region. Environmental Geology 2009, 9:339-404.
2. Akgun A., Türk N. Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis. Environmental Earth Sciences 2010, 61:595-611.
3. Ayalew L., Yamagishi H. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 2005, 65:15-31.
4. Bai S., Lü G., Wang J., Zhou P., Ding L. GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China. Environmental Earth Sciences 2011, 62:139-149.
5. Bai S.B., Wang J., Lü G., Zhou P., Hou S.S., Xu S.N. GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China. Geomorphology 2010, 115:23-31.
6. Carrara A., Cardinali M., Detti R., Guzzetti F., Pasqui V., Reichenbach P. GIS techniques and statistical models in evaluating landslide hazard. Earth Surface Processes and Landforms 1991, 16:427-445.
7. Chen C.H., Ke C.C., Wang C.L. A back-propagation network for the assessment of susceptibility to rock slope failure in the eastern portion of the Southern Cross-Island Highway in Taiwan. Environmental Geology 2009, 57:723-733.
8. Chung C.-J.F., Fabbri A.G. Probabilistic prediction models for landslide hazard mapping. Photogrammetric Engineering and Remote Sensing 1999, 65:1389-1399.
9. Cubito A., Ferrara V., Pappalardo G. Landslide hazard in the Nebrodi Mountains (Northeastern Sicily). Geomorphology 2005, 66:359-372.
10. Dahal R.K., Hasegawa S., Nonomura A., Yamanaka M., Takuro M., Nishino K. GIS-based weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping. Environmental Geology 2008, 54:311-324.
11. Dai F.C., Lee C.F. Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 2002, 42:213-228.
12. Das I., Sahoo S., van Westen C., Stein A., Hack R. Landslide susceptibility assessment using logistic regression and its comparison with a rock mass classification system, along a road section in the northern Himalayas (India). Geomorphology 2010, 114:627-637.
13. Ercanoglu M., Temiz F.A. Application of logistic regression and fuzzy operators to landslide susceptibility assessment in Azdavay (Kastamonu, Turkey). Environmental Earth Sciences 2011, 64:949-964.
14. Erener A., Düzgün H.S.B. Landslide susceptibility assessment: what are the effects of mapping unit and mapping method?. Environmental Earth Sciences 2011, 10.1007/s12665-011-1297-0.
15. Fernandes A.M., Utkin A.B., Lavrov A.V., Vilar R.M. Development of neural network committee machines for automatic forest fire detection using lidar. Pattern Recognition 2004, 37(10):2039-2047.
16. Fujisada H., Bailey G.B., Kelly G.G., Hara S., Abrams M.J. ASTER DEM Performance. IEEE Transactions on Geoscience and Remote Sensing 2005, 43:2707-2714.
17. Garrett J. Where & why artificial neural networks are applicable in civil engineering. Journal of Computing in Civil Engineering 1994, 8:129-130.
18. Gokceoglu C., Sonmez H., Nefeslioglu H.A., Duman T.Y., Can T. The 17 March 2005 Kuzulu landslide (Sivas, Turkey) and landslide-susceptibility map of its near vicinity. Engineering Geology 2005, 81:65-83.
19. Guzzetti F., Carrarra A., Cardinali M., Reichenbach P. Landslide hazard evaluation, a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 1999, 31:181-216.
20. Hirano A., Welch R., Land H. Mapping from ASTER Stereo image data, DEM validation and accuracy assessment. ISPRS Journal of Photogrammetry and Remote Sensing 2003, 57:356-370.
21. Intarawichian N., Dasananda S. Frequency ratio model based landslide susceptibility mapping in lower Mae Chaem watershed. Northern Thailand. Environmental Earth Sciences 2011, 10.1007/s12665-011-1055-3.
22. Lang H., Welch R. Algorithm Theoretical Basis Document for ASTER Digital Elevation Models, Version 3.0., CA 1999, Jet Propulsion Laboratory, Pasadena.
23. Lee S. Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data. International Journal of Remote Sensing 2005, 26:1477-1491.
24. Lee S. Comparison of landslide susceptibility maps generated through multiple logistic regression for three test areas in Korea. Earth Surface Processes and Landforms 2007, 32:2133-2148.
25. Lee S., Choi J., Woo I. The effect of spatial resolution on the accuracy of landslide susceptibility mapping: a case study in Boun, Korea. Geosciencs Journal 2004, 8:51-60.
26. Lee S., Evangelista D.G. Earthquake-induced landslide-susceptibility mapping using an artificial neural network. Natural Hazards and Earth System Science 2006, 6:687-695.
27. Lee S., Lee M.-J. Detecting landslide location using KOMPSAT 1 and its application to landslide-susceptibility mapping at the Gangneung area, Korea. Advances in Space Research 2006, 38:2261-2271.
28. Lee S., Min K. Statistical analysis of landslide susceptibility at Youngin, Korea. Environmental Geology 2001, 40:1095-1113.
29. Lee S., Pradhan B. Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia. Journal of Earth System Science 2006, 115:661-672.
30. Lee S., Ryu J.H., Lee M.J., Won J.S. The application of artificial neural networks to landslide susceptibility mapping at Janghung, Korea. Mathematical Geology 2006, 38:199-220.
31. Lee S., Ryu J.-H., Kim I.-S. Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: Case study of Youngin, Korea. Landslides 2007, 4:327-338.
32. Lee S., Ryu J.H., Won J.S., Park H.J. Determination and application of the weights for landslide susceptibility mapping using an artificial neural network. Engineering Geology 2004, 71:289-302.
33. Lepore C., Kamal S.A., Shanahan P., Bras R.L. Rainfall-induced landslide susceptibility zonation of Puerto Rico. Environmental Earth Sciences 2011, 10.1007/s12665-011-0976-1.
34. Melchiorre C., Matteucci M., Azzoni A., Zanchi A. Artificial neural networks and cluster analysis in landslide susceptibility zonation. Geomorphology 2008, 94:379-400.
35. Miliaresis G.C., Paraschou C.V.E. Vertical accuracy of the SRTM DTED level 1 of Crete. International Journal of Applied Earth Observation and Geoinformation 2005, 7:49-59.
36. Moreiras S.M. Landslide susceptibility zonation in the Rio Mendoza Valley, Argentina. Geomorphology 2005, 66:345-357.
37. Muthu K., Petrou M., Tarantino C., Blonda P. Landslide possibility mapping using fuzzy approaches. Geoscience and Remote Sensing, IEEE Transactions on 2008, 46:1253-1265.
38. Nandi A., Shakoor A. A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Engineering Geology 2010, 110:11-20.
39. Oh H.J., Lee S. Cross-validation of logistic regression model for landslide susceptibility mapping at Geneoung areas, Korea. Disaster Advances 2010, 3:44-55.
40. Oh H.J., Lee S. Landslide susceptibility mapping on Panaon Island, Philippines using a geographic information system. Environmental Earth Sciences 2011, 62:935-951.
41. Oh H.J., Lee S. Cross-application used to validate landslide susceptibility maps using a probabilistic model from Korea. Environmental Earth Sciences 2011, 64:395-409.
42. Oh H.J., Pradhan B. Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area. Computers and Geosciences 2011, 37:1264-1276.
43. Oh H.J., Lee S., Chotikasathien W., Kim C.H., Kwon J.H. Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand. Environmental Geology 2009, 57:641-651.
44. Ohlmacher G.C., Davis J.C. Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA. Engineering Geology 2003, 69:331-343.
45. Ozdemir A. Landslide susceptibility mapping of vicinity of Yaka Landslide (Gelendost, Turkey) using conditional probability approach in GIS. Environmental Geology 2009, 57:1675-1686.
46. Poudyal C.P., Chang C., Oh H.J., Lee S. Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya. Environmental Earth Sciences 2010, 61:1049-1064.
47. Pradhan B. Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia. Environmental Earth Sciences 2011, 63:329-349.
48. Pradhan B., Lee S. Landslide risk analysis using artificial neural network model focussing on different training sites. International Journal of Physical Sciences 2009, 4:1-15.
49. Pradhan B., Lee S. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models. Environmental Earth Sciences 2009, 60:1037-1054.
50. Pradhan B., Lee S. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling. Environmental Modelling and Software 2010, 25:747-759.
51. Pradhan B., Lee S. Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia. Landslides 2010, 7:13-30.
52. Pradhan B., Sezer E.A., Gokceoglu C., Buchroithner M.F. Landslide susceptibility mapping by neuro-fuzzy approach in a landslide-prone area (Cameron Highlands, Malaysia). IEEE Transactions on Geoscience and Remote Sensing 2010, 48:4164-4177.
53. Regmi N.R., Giardino J.R., Vitek J.D. Assessing susceptibility to landslides: Using models to understand observed changes in slopes. Geomorphology 2010, 112:25-38.
54. Regmi N.R., Giardino J.R., Vitek J.D. Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA. Geomorphology 2010, 115:172-187.
55. Suh J., Choi Y., Roh T.D., Lee H.J., Park H.D. National-scale assessment of landslide susceptibility to rank the vulnerability to failure of rock-cut slopes along expressways in Korea. Environmental Earth Sciences 2011, 63:619-632.
56. Tsoukalas L.H., Uhrig R.E. Fuzzy and Neural Approaches in Engineering 1997, Wiley-Interscience.
57. Wang W.D., Guo J., Fang L.G., Chang X.S. A subjective and objective integrated weighting method for landslides susceptibility mapping based on GIS. Environmental Earth Sciences 2011, 10.1007/s12665-011-1148-z.
58. Yalcin A. GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations. Catena 2008, 72:1-12.
59. Yalcin A., Reis S., Aydinoglu A.C., Yomralioglu T. A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey. Catena 2011, 85:274-287.
60. Yilmaz C., Topal T., Süzen M.L. GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey). Environmental Earth Sciences 2011, 10.1007/s12665-011-1196-4.
61. Yilmaz I. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat-Turkey). Computers and Geosciences 2009, 35:1125-1138.
62. Yilmaz I. Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine. Environmental Earth Sciences 2010, 61:821-836.
63. Zêzere J., Ferreira A., Rodrigues M. The role of conditioning and triggering factors in the occurrence of landslides: a case study in the area north of Lisbon (Portugal). Geomorphology 1999, 30:133-146.
64. Zhou W. Verification of the nonparametric characteristics of backpropagation neural networks for image classification. IEEE Transactions on Geoscience and Remote Sensing 1999, 37:771-779.
65. Zhou C.H., Lee C.F., Li J., Xu Z.W. On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong. Geomorphology 2002, 43:197-207.